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baygel

Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models

v0.3.0 · Nov 11, 2023 · GPL (>= 3)

Description

This R package offers block Gibbs samplers for the Bayesian (adaptive) graphical lasso, ridge, and naive elastic net priors. These samplers facilitate the simulation of the posterior distribution of precision matrices for Gaussian distributed data and were originally proposed by: Wang (2012) <doi:10.1214/12-BA729>; Smith et al. (2022) <doi:10.48550/arXiv.2210.16290> and Smith et al. (2023) <doi:10.48550/arXiv.2306.14199>, respectively.

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NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

Dependency Network

Dependencies Reverse dependencies Rcpp RcppArmadillo baygel

Version History

new 0.3.0 Mar 10, 2026
updated 0.3.0 ← 0.2.0 diff Nov 10, 2023
updated 0.2.0 ← 0.1.0 diff Jul 7, 2023
new 0.1.0 Jan 29, 2023